Cloud and on-premise DBaaS (Database as a Service) - PostgreSQL Database Deployments automation

Authors

  • Murali Natti   Lead Database Engineer / DevOps Lead / Database Architect / Cloud Infrastructure Solutions Expert / DB Security Lead

Keywords:

PostgreSQL, DBaaS, Automation, Cloud Integration, Containerization, Terraform, Kubernetes, Multi-Cloud Deployment.

Abstract

In today's fast-paced IT landscape, managing PostgreSQL database deployments across diverse platforms, including on-premises data centers and various public cloud providers such as AWS, Google Cloud, and Alibaba Cloud, can be a complex and resource-intensive process. Traditional manual configuration practices often lead to longer deployment cycles, increased risks of human errors, and inefficient use of resources. This white paper investigates the shift towards automating PostgreSQL database deployments by developing a Database as a Service (DBaaS) platform. By integrating cloud environments with advanced automation technologies, this transition has significantly reduced deployment times, enhanced operational efficiency, and minimized overhead. The paper delves into the strategies, technologies, and benefits of implementing a scalable, automated PostgreSQL DBaaS solution, which improves management, scalability, and maintenance across multiple cloud environments.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2023-04-30

Issue

Volume 9, Issue 2, March-April-2023

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Murali Natti , " Cloud and on-premise DBaaS (Database as a Service) - PostgreSQL Database Deployments automation" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 2, pp.772-776, March-April-2023.